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  • All HBS Web  (11,989)
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  • June 2012
  • Case

Buro Happold (Abridged)

By: Robert G. Eccles and Ryan Johnson
In 1996, Ted Happold, the founder of the engineering services firm Buro Happold, passed away, and Padraic Kelly became the firm's new managing director (MD). One of his first initiatives was "Aim for Growth," which was intended to help the firm grow beyond its current... View Details
Keywords: Learning And Development; Managing Growth; Organizational Design; Diversification; Client Management; Leadership Skills; Entrepreneurship; Growth and Development Strategy; Leadership Development; Management Skills; Training; Programs; Customer Relationship Management
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Eccles, Robert G., and Ryan Johnson. "Buro Happold (Abridged)." Harvard Business School Case 412-123, June 2012.
  • Jun 29 2018
  • Testimonial

From Trial Lawyer to CEO

  • 2011
  • Tool

Stepping Up to Management

By: Linda A. Hill
Enable new managers to learn their jobs—while performing their jobs—with content that's integrated into their day-to-day workflow. Stepping Up to Management puts new managers on the right track so they can hit the ground running while laying the foundation for a... View Details
Keywords: Learning; Managerial Roles; Personal Development and Career
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Hill, Linda A. Stepping Up to Management. Tool. Watertown, MA: Harvard Business Publishing, 2011.
  • 02 Jul 2019
  • Blog Post

Summer Listening - HBS Podcasts to Take to the Beach

interviews with alumni from across the world of business, sharing lessons learned and their own life experiences. Give It to Me StraightRadical Candor author Kim Scott on what effective feedback really looks... View Details
  • January–February 2022
  • Article

Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

By: Ryan Allen and Prithwiraj Choudhury
How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
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Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Organization Science 33, no. 1 (January–February 2022): 149–169. ("Best PhD Student Paper" at SMS conference 2020.)
  • 14 Jul 2014
  • Research & Ideas

Pay Attention To Your ‘Extreme Consumers’

What do Porsche fanatics, a video game hater, and a person who cooked two weeks' worth of meals in a rice cooker have in common? They are all "extreme consumers"—those whose tastes are so out there that mainstream market researchers tend View Details
Keywords: by Michael Blanding
  • 01 Feb 2020
  • News

How to Build an Effective Organisation

  • 26 Mar 2024
  • Research & Ideas

How Humans Outshine AI in Adapting to Change

tested six common types of reinforcement learning algorithms that had been designed to learn from frame-by-frame images of the game. The four games were successively harder,... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • August 2018 (Revised October 2020)
  • Case

Tailor Brands: Artificial Intelligence-Driven Branding

By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
Keywords: Startup; Services; Artificial Intelligence; Machine Learning; Digital Marketing; Brand Management; Big Data; Internet Marketing; Analytics; Marketing; Marketing Strategy; Brands and Branding; Information Technology; Entrepreneurship; Venture Capital; Business Model; Consumer Behavior; AI and Machine Learning; Analytics and Data Science; Advertising Industry; Service Industry; Technology Industry; United States; North America; Israel
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Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Case 519-017, August 2018. (Revised October 2020.)
  • Video

Introduction to Courageous Leadership

  • November 2024
  • Supplement

AlphaGo (C): Birth of a New Intelligence

By: Shikhar Ghosh and Shweta Bagai
This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States
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Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (C): Birth of a New Intelligence." Harvard Business School Supplement 825-075, November 2024.
  • 08 Jan 2019
  • News

HBX Rebrands to Harvard Business School Online to Help Extend Reach of Online Programs

  • Dec 10 2014
  • Testimonial

Evolving from Problem Solving to Empowerment

  • 2024
  • Working Paper

Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
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Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
  • 06 Mar 2018
  • Video

How to Onboard an Intern Effectively

  • Aug 08 2016
  • Testimonial

Taking Negotiation to the Next Level

  • 2020
  • Working Paper

Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

By: Ryan Allen and Prithwiraj Choudhury
Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Decision-making; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
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Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Harvard Business School Working Paper, No. 21-073, October 2020. (Revised September 2021.)
  • 12 May 2020
  • Research & Ideas

It’s Time To Relaunch Your Remote Team

COVID-19 has made virtual work the new normal. In a few short weeks, meeting tools like Zoom, Microsoft Teams, Google Chat, and Slack have gone from a useful supplement to the primary enablers for daily interactions with co-workers. Workspaces have transferred from... View Details
Keywords: by Tsedal Neeley
  • Research Summary

Overview

Phil's work aims to identify the drivers of performance for healthcare organizations and providers, and the mechanisms by which this performance can change over time. In complex healthcare settings, the optimal choice of treatment can be highly ambiguous. As a... View Details
Keywords: Primary Care; Medical Decision-making; Learning By Doing; Healthcare Organizations; Healthcare Operations; Health Economics
  • October 2015 (Revised October 2016)
  • Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. Shih
This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details
Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States
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Shih, Willy C. "Building Watson: Not So Elementary, My Dear! (Abridged)." Harvard Business School Case 616-025, October 2015. (Revised October 2016.)
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